DOC: fix typos in linear_model.rst (scikit-learn#8868)

* DOC fix typos in linear_model.rst

* Another typo

Author: rubik

doc/modules/linear_model.rst

@@ -544,8 +544,8 @@ This can be done by introducing `uninformative priors
 <https://en.wikipedia.org/wiki/Non-informative_prior#Uninformative_priors>`__
 over the hyper parameters of the model.
 The :math:`\ell_{2}` regularization used in `Ridge Regression`_ is equivalent
-to finding a maximum a-postiori solution under a Gaussian prior over the
-parameters :math:`w` with precision :math:`\lambda^-1`.  Instead of setting
+to finding a maximum a posteriori estimation under a Gaussian prior over the
+parameters :math:`w` with precision :math:`\lambda^{-1}`.  Instead of setting
 `\lambda` manually, it is possible to treat it as a random variable to be
 estimated from the data.
 
@@ -601,7 +601,7 @@ remaining hyperparameters are the parameters of the gamma priors over
 *non-informative*.  The parameters are estimated by maximizing the *marginal
 log likelihood*.
 
-By default :math:`\alpha_1 = \alpha_2 =  \lambda_1 = \lambda_2 = 1.e^{-6}`.
+By default :math:`\alpha_1 = \alpha_2 =  \lambda_1 = \lambda_2 = 10^{-6}`.
 
 
 .. figure:: ../auto_examples/linear_model/images/sphx_glr_plot_bayesian_ridge_001.png